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Published on: August 30, 2013
Invariant pattern recognition based on centroids
S Chang1, H H Arsenault, P Garcia-Martinez
1Optics Group, Institute for National Measurement Standards, National Research Council Canada, Building M-36, Ottawa, Ontario K1A OR6, Canada. shoude.chang@nrc.ca
Abstract:
A new method for pattern recognition that is invariant under changes of position, orientation, intensity, and scale is presented. The centroids of objects provide unique points that are related to the energy distribution. For obtaining more such unique points a conformal transform can be used to rearrange the energy distribution of the object. By means of the conformal transform many different centroids can be produced from the same object. A useful pattern-recognition and object-registration method that yields a position-, rotation-, intensity-, and scale-invariant feature vector based on these centroids can be created.
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